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Job Description Principal AI Engineer Summary: • Design and advance AI models and system innovations in close collaboration with cross-functional teams, including Product Management, Software Engineering, and Pre-Sales—to ensure high-quality performance and delivery., • Develop which are LLMs designed to solve our customers’ business problems in areas such as fraud, collections, financial services operations, financial education software. Implement novel architectures (transformers and others), optimizing distributed training pipelines (Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business-relevant benchmarks., • Communicating to high-level stakeholders internally and externally., • Conduct hands-on analysis of large historical datasets to identify the best modeling techniques, demonstrating expertise in various algorithms and modeling processes with cutting-edge machine learning techniques., • Guide and mentor scientists to support their career development., • Drive innovation and inorganic growth of new and existing products through offering and promoting refined ideas.Requirements:, • Excellent software engineering skills, experience in Python, Rust and/or C++., • Experience with pre/post training of modern AI architectures (transformers, encoders, decoders, diffusion)., • Real-world experience with distributed systems and concurrency., • Experience with Reinforcement Learning (RL), Simulation and/or Synthetic Data Generation., • Prior experience managing, scaling and delivering high-quality, on-time AI/ML projects., • MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics, or related fields., • Requires full-time, on-site presence at the office in San Diego, CA., • Willingness to travel up to 10%.

Job DescriptionHeadquartered in San Diego, Mulligan Funding serves as a leading provider of working capital (Up to $5M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of what’s possible while creating value for all of our partners. As our Staff Applied AI Scientist focused on Decision Systems, you will design the logic behind how AI makes decisions inside real production workflows. This is not a research role and it is not a pure engineering role. You will sit at the intersection of business strategy, risk, and applied AI to ensure our decision systems are intelligent, calibrated, and economically aligned. Engineers will deploy the systems. You will define the decision intelligence that powers them. If you are excited about turning business judgment into structured, production ready AI logic that directly impacts profitability, this role is for you.What You Will Work On • Designing and formalizing structured AI reasoning frameworks that translate credit policy, risk strategy, and operational heuristics into production ready decision logic., • Defining multi layer decision hierarchies across underwriting, collections, fraud detection, pricing optimization, and sales routing workflows, including conflict resolution logic when signals disagree., • Establishing structured output standards for agent based systems so AI recommendations are interpretable, consistent, and actionable., • Designing confidence scoring methodologies for AI assisted decisions and calibrating routing thresholds across auto approve, escalation, human review, and decline paths., • Optimizing trade offs across risk exposure, approval rates, speed to decision, unit economics, and operational capacity., • Analyzing override behavior and feedback loops to refine decision logic and improve system performance over time., • Building evaluation datasets to test reasoning quality prior to deployment and defining clear production acceptance criteria., • Benchmarking performance across decision domains and establishing monitoring standards to detect drift, degradation, bias, or inconsistency in AI outputs., • Partnering with Engineering and MLOps to ensure monitoring, reporting, and feedback mechanisms are embedded in production systems., • Supporting governance, audit, and compliance documentation to ensure decisions are explainable and defensible in a regulated environment., • Assessing potential bias and unintended impact across workflows and partnering with Risk, Compliance, and Legal on responsible deployment., • Quantifying business impact across loss rates, recovery performance, operational cost per file, funnel conversion, and cycle time, and aligning decision systems with portfolio economics and strategic objectives.What This Role Is Not, • Ownership of API development, integration pipelines, or infrastructure., • Primary responsibility for MLOps tooling or production orchestration code., • An academic or purely research focused AI position., • A general program management or governance only role disconnected from production impact.What You Bring, • Eight or more years of experience in applied data science, including at least three years working on AI enabled product systems. Experience in AI product systems is required., • Demonstrated experience designing, calibrating, and validating production decision systems., • Experience translating domain expertise into structured logic frameworks that can be deployed in operational environments., • Strong foundation in statistics, probability, and decision theory., • Experience evaluating and tuning model outputs, including large language model reasoning outputs., • Experience working in regulated or risk sensitive environments preferred. Background in fintech, lending, financial services, or other high consequence decision environments strongly preferred., • Master’s degree in Statistics, Applied Mathematics, Data Science, Economics, Computer Science, Engineering, or related quantitative discipline required. PhD preferred.Why Join The Team, • This role offers the opportunity to shape how AI makes decisions across an entire lending platform., • The work directly influences portfolio performance, unit economics, and operational strategy., • You will operate in a company that is intentionally building AI into its core workflows, not experimenting at the margins., • The systems you design will be durable, measurable, explainable, and central to the company’s long term competitive advantage.We Offer, • Comprehensive medical, dental, and vision coverage with multiple plan options to support you and your family., • A 401k retirement plan with company matching contributions to help you build long term financial security., • Generous paid time off and paid holidays to support balance and flexibility., • Company paid life insurance and disability coverage for additional protection and peace of mind., • Flexible Spending Account and Health Savings Account options to maximize tax advantages., • A Lifestyle Spending Account to support wellness and fitness related expenses., • A professional development stipend to encourage continued learning and growth., • An employee referral program that rewards you for helping us build a strong team.

Job DescriptionScismic is supporting a global consulting company that fosters a highly collaborative and inclusive culture, encouraging creativity, growth, and innovation. With a team of over 1,000 professionals across 50 global markets, the organization partners with world-class clients to solve complex business challenges across diverse industries. The company values a “builder’s mindset,” empowering employees to create new solutions, develop lasting impact, and grow their careers in a supportive environment. The company is seeking an exceptional Senior Data Scientist with deep expertise in Natural Language Processing and Large Language Models to join the consulting practice. You'll work directly with Fortune 500 clients to solve complex business challenges using state-of-the-art AI technologies across diverse industries. Ideal Candidate Profile You combine academic rigor with practical engineering skills and exceptional client communication abilities. You will work end-to-end from project initiation through client delivery, comfortable both building sophisticated algorithms and presenting findings directly to clients. You excel at automating repetitive tasks and developing reusable frameworks that scale across multiple engagements. You should be comfortable implementing cutting-edge research while translating complex technical concepts into actionable business strategies. Strong presentation skills and the ability to build trust with senior executives are essential. Equal Opportunities Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer. In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.Responsibilities: • Lead client workshops and discovery sessions to identify NLP opportunities, • Develop and present technical proposals to C-level executives, • Manage multiple client projects simultaneously while maintaining quality and timelines, • Design and implement novel NLP solutions for complex business problems, • Architect scalable solutions for processing and analyzing large text corpora, • Build custom language models tailored to each client's unique industry challenges, • Automate repetitive analytical tasks and develop reusable algorithmic frameworks, • Mentor junior data scientists and provide technical guidance on NLP projects, • Develop automated content analysis, document processing, and customer insight systems, • Create scalable text analytics platforms that drive measurable business outcomes, • Work across retail, finance, healthcare, and media sectors, • Translate complex AI capabilities into clear business value propositionsTechnical Environment:, • Languages: Python (primary), R, SQL, potentially C++ for optimization, • ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, • Infrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure), • Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databasesRequired Qualification:, • PhD in Computer Science, Computational Linguistics, Statistics, Mathematics, Economics, Econometrics, or related quantitative field, • Minimum 5 years of professional experience in data science, machine learning, or related roles, • Advanced NLP expertise: Deep understanding of transformer architectures, attention mechanisms, and modern NLP techniques, • Large Language Model proficiency: Hands-on experience with LLM fine-tuning, prompt engineering, RLHF, and deployment at scale, • Programming mastery: Expert-level Python, with strong knowledge of PyTorch/TensorFlow, Hugging Face ecosystem, • MLOps & Infrastructure: Experience with model deployment, monitoring, and scaling in production environments, • Experience writing production code and ensuring well-managed software delivery, • Experience with foundation models (GPT, BERT, T5, LLaMA, etc.), • Knowledge of retrieval-augmented generation (RAG) systems, • Understanding of model compression techniques (quantization, distillation, pruning), • Experience with evaluation metrics and benchmarking for language modelsPreferred:, • Experience in consulting or client-facing technical roles, • Knowledge of specialized domains (healthcare NLP, legal AI, financial text analysis), • Cloud platform expertise (AWS SageMaker, Google Cloud AI, Azure ML), • Open-source contributions to major ML/NLP librariesBenefits:, • Hybrid work environment with home and office schedule (2+ days in office per week) and work from anywhere weeks, • Comprehensive health benefits (healthcare, vision, dental, pet, home, and auto insurance), • Generous time off policies (unlimited paid time off, wellness days, national holidays, summer Fridays), • Four-week sabbatical every five consecutive years of employment, • Exceptional parental leave benefits, • Global mentorship and networking programs, • Monthly cell phone reimbursement, • 401k savings and employee stock purchase plan, • Volunteer hours (20 hours annually) for designated non-profit partner and personal choice, • Globally driven inclusive initiatives (Employee Advocacy Groups, equity committee), • Career growth opportunities (multi-day customized trainings for each level)Equal Opportunities:, • Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer., • In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location., • In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.

Job DescriptionData Science & Analysis - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting-edge AI models using real technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field., • Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering., • Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently., • Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations., • LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail., • Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely., • A PayPal account to receive payment from our clients What you'll be doing in the role • Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness., • Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions., • Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly., • Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models., • Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior. Key Technologies • Programming: proficiency in Python (Pandas, NumPy, Scikit-learn) or R., • Data Querying: advanced SQL for complex data extraction and manipulation., • Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We are looking for an experienced state estimation engineer to design, develop, and support the deployment of safety-critical navigation solutions for aerospace platforms. This role requires deep expertise in state estimation theory, extensive practical experience implementing ownship navigation systems in the aerospace domain, and strong software development skills for production-quality navigation code. The engineer will design and implement a unified navigation architecture that supports traditional GNSS/IMU fusion while being extensible to all-source navigation strategies incorporating diverse sensing modalities for GPS-degraded and denied environments.What you'll do:Navigation System Architecture & Design: • Establish navigation performance requirements and error budgets for safety-critical applications, • Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components, • Design detailed software architecture for state estimation implementations, including module interfaces and data flow Algorithm Development & Implementation:, • Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches, • Implement tightly-coupled and loosely-coupled GNSS/INS integration algorithms, • Integrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environments, • Develop fault detection, isolation, and recovery (FDIR) strategies for navigation systems, • Implement integrity monitoring and protection level calculations for safety-critical operations Certification & Verification:, • Develop verification and validation test plans for navigation algorithms, • onduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluation, • Document navigation system design, requirements allocation, and compliance evidence, • Support safety assessment activities including failure modes and effects analysis Technical Leadership:, • Provide technical guidance on navigation architecture and state estimation approaches, • Support trade studies evaluating navigation sensor suites and fusion strategies, • Mentor junior engineers on state estimation theory and implementation Required qualifications:, • Demonstrated experience implementing GNSS/INS integration solutions, • Experience with safety-critical system development and certification processes, • Deep understanding of state estimation theory, • Experience implementing multi-sensor fusion algorithms in production systems, • Strong background in inertial navigation, GNSS positioning, and sensor error modeling, • Strong programming skills in C/C++ and Python/MATLAB for algorithm development and analysis, • Understanding of integrity monitoring, protection levels, and safety assessment methods, • Experience with requirements management and verification/validation processes for certifiable systems, • Understanding of GPS/GNSS signal structure, error sources, and performance characteristics, • Knowledge of IMU error models, calibration, and Allan variance analysis, • Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.), • Understanding of navigation performance metrics (accuracy, integrity, continuity, availability)Preferred qualifications:, • PhD in relevant field with focus on state estimation or navigation, • Direct involvement in certified navigation system development from requirements through flight test, • Experience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.), • Publications or patents in navigation or state estimation, • Experience with GPS/GNSS jamming and spoofing mitigation techniques Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Position titles: * Assistant Professor of Artificial Intelligence and Public Policy * Associate or Full Professor of Artificial Intelligence and Public Policy Salary range: A reasonable salary range estimate for this open-rank position is $146,000-$265,000. The UC Academic salary scale sets the minimum pay as determined by rank and/or step at appointment. The base salary range for this position is $107,100-$232,100, based on the current salary scale: "Off-scale salaries" and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. Additional UCSD salary information can be found here: Open date: December 19, 2025 Most recent review date: Friday, May 1, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Monday, Aug 31, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. The University of California, San Diego invites applications for one or more ladder rank faculty appointments based in the Halcolu Data Science Institute (HDSI), the academic unit of the newly formed School of Computing, Information and Data Sciences. This is an open rank search (Assistant, Associate or full Professor) for outstanding researchers to fill our need in the field of Artificial Intelligence and Public Policy. Economics, Political Science, Sociology, and Public Policy are all seeing rapid advancement in the ability to understand human behavior in new ways through the use of Artificial Intelligence (AI). We seek faculty applicants who are experts in AI, data science, economics, political science, public policy, or a closely related discipline. Faculty candidates should demonstrate interest and contributions in both: (1) an aspect of data science vital to the design or implementation of public policy, including machine learning, artificial intelligence, natural language processing, network analysis, data privacy and security, or algorithmic fairness; and (2) a policy domain of long-term priority, including public health, public infrastructure (e.g., transportation, housing, smart cities), movement and settlement of peoples (e.g., migration, refugees, border issues), fairness and discrimination (e.g., in employment, housing, or criminal justice), international trade and finance, climate and energy policy, or defense and security policy. A focus on intersecting fields is encouraged, as in societal computing, innovations in community based participatory research using digital technologies, and human-in-the-loop decision support systems. This search has the following priorities: • Expertise in both a public policy domain and a technical domain; this is not a joint appointment, practical data science skills are necessary;, • A demonstrable history of novel technical innovation as well as the ability to point to translation and social impact from their work. Senior applicants may have concrete examples, while junior applicants may need to describe the aspirational impact their emerging work will have;, • Experience teaching across computational/numerical and public policy-related domains;, • Ability to engage with students and colleagues with substantially different training, including classical schools of thoughts and novel approaches within fields like economics; Appointment will be tenured or tenure-track. The level of appointment for the successful candidate(s) will be based on the candidate's background and experience. The following link to the full description of the Ladder Rank Professor series is provided for your review: Department: School: Basic qualifications (required at time of application) PhD or equivalent degree, or advancement to candidacy in Data Science, Computer Science, Mathematics/Statistics, Political Science, Economics, Public Policy, or related discipline. Assistant (tenure-track) Position title: Assistant Professor of Artificial Intelligence and Public Policy References: letters of support are required at the initial review stage. Document requirements * Cover Letter * Curriculum Vitae - Your most recently updated C.V. * Statement of Research * Statement of Teaching * Teaching Evaluations (Optional) Reference requirements Position title: Associate or Full Professor of Artificial Intelligence and Public Policy References: contact information required at time of application; letters of support will only be requested at the finalist stage. Document requirements * Cover Letter * Curriculum Vitae - Your most recently updated C.V. * Statement of Research * Statement of Teaching * Teaching Evaluations Reference requirements The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. As a university employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California prohibits smoking and tobacco use at all of its university-controlled properties. The UC San Diego Annual Security & Fire Safety Report is available online at:. This report provides crime and fire statistics, as well as institutional policy statements & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. Click for more information on Assembly Bill-810 Click for more information on Senate Bill-791 • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.

Position title: Lecturer Salary range: A reasonable annual salary range estimate for this position is $70,997 - $75,301 The posted UC salary scales set the minimum pay at the appointment as determined by appointment type and if applicable, rank and/or step is here Open date: March 10, 2026 Next review date: Sunday, May 17, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Wednesday, Mar 10, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. The Department of Mathematics, within the School of Physical Sciences at UC San Diego, is committed to academic excellence and diversity within the faculty, staff, and student body. The Department is looking for candidates in all areas and specialties of mathematics. The Lecturer will teach depending on the needs of the department. Duties include instruction in courses on topics related to mathematics. The lecturer will likely be teaching a few courses per week and will hold office hours for students. Appointments range from one (1) or more quarters based on departmental needs. Department: Basic qualifications (required at time of application) Master's Degree in Mathematics or a related field and 1 or more years of teaching experience. Preferred qualifications PhD in Mathematics or a related field Experience teaching large classroom sizes (100-300 students) Outstanding Teaching Evaluations Prior University level teaching experience Research experience and a commitment to diversity, equity, and inclusion are highly desirable. Document requirements * Curriculum Vitae - Your most recently updated C.V. * Teaching Evaluations - All of the evaluations of teaching as an instructor or teaching assistant, including comments from students (if available) for the last two years. If not available, submit comments/feedback received from students and/or colleagues Reference requirements The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. As a university employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California prohibits smoking and tobacco use at all of its university-controlled properties. The UC San Diego Annual Security & Fire Safety Report is available online at:. This report provides crime and fire statistics, as well as institutional policy statements & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. Click for more information on Assembly Bill-810 Click for more information on Senate Bill-791 • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.

Position titles: * Professor of Data Science * Professor of Data Science Salary range: A reasonable salary range estimate for this open-rank position is $146,000-$265,000. The UC Academic salary scale sets the minimum pay as determined by rank and/or step at appointment. The base salary range for this position is $107,100-$232,100, based on the current salary scale: "Off-scale salaries" and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. Additional UCSD salary information can be found here: Open date: December 22, 2025 Most recent review date: Sunday, Feb 22, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Monday, Aug 31, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. The University of California, San Diego invites applications for one or more ladder rank faculty appointments based in the Halcolu Data Science Institute (), the academic unit of the newly formed School of Computing, Information and Data Sciences. This is an open rank search for all levels of appointment (assistant, associate, or full professor). We seek outstanding candidates from ALL areas of Artificial Intelligence and Machine Learning as represented within HDSI's research scope, including but not limited to: 1. Computer Vision, 2. AI for Science, 3. Emerging Technologies for AI (such as Quantum Computing) All candidates are expected to establish a rigorous program of high-quality, federally-funded research that focuses on innovations in one of the targeted search areas. This position involves teaching university students. The successful applicant(s) will be expected to teach at both the graduate and undergraduate levels in support of the Data Science major/minor degree and other programs offered by the Institute. Appointment will be tenured or tenure-track. The level of appointment for the successful candidate(s) will be based on the candidate's background and experience. The following link to the full description of the Ladder Rank Professor series is provided for your review: Department: School: Basic qualifications (required at time of application) *PhD or equivalent degree, or advancement to candidacy in Data Science, Computer Science, Mathematics/Statistics, or a related field. *Evidence of independent scholarly impact and research productivity. *Evidence of and/or demonstrated ability to teach and advise students. Assistant (tenure-track) Position title: Professor of Data Science References: letters of support are required at the initial review stage. Document requirements * Cover Letter * Curriculum Vitae - Your most recently updated C.V. * Statement of Research * Statement of Teaching * Teaching Evaluations (Optional) Reference requirements Position title: Professor of Data Science References: contact information required at time of application; letters of support requested only at the finalist stage. Document requirements Reference requirements The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. As a university employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California prohibits smoking and tobacco use at all of its university-controlled properties. The UC San Diego Annual Security & Fire Safety Report is available online at:. This report provides crime and fire statistics, as well as institutional policy statements & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. Click for more information on Assembly Bill-810 Click for more information on Senate Bill-791 • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.

Position title: Visiting Assistant Professor Salary range: A reasonable salary estimate for this position is $84,900. The posted UC academic salary scales () set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position (//) Open date: September 17, 2025 Most recent review date: Friday, Nov 21, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. The Department of Mathematics (), within the School of Physical Sciences at the University of California, San Diego, is committed to academic excellence and diversity within the faculty, staff and student body. We invite applications for our Stefan E. Warschawski Visiting Assistant Professorships in all areas of Mathematics, Statistics, and related topics. All positions are subject to availability of funding. These positions are aimed at new and recent PhDs whose work demonstrates strong potential in mathematical research. These positions are three-year nonrenewable appointments. Teaching in Mathematics, Statistics, and related topics will be expected, and the teaching load is four quarter courses per year. Lecture courses will be at the undergraduate upper and lower division levels. For applicants interested in spousal/partner employment, please visit the UCSD Partner Opportunities Program at : More Info: Basic qualifications (required at time of application) Currently pursuing PhD in Mathematics, Statistics, or related field Additional qualifications (required at time of start) PhD Document requirements * AMS Standard Cover Sheet - available for free on mathjobs.org * Statement of Research * Statement of Teaching * Curriculum Vitae - Your most recently updated C.V. * Publication list * Cover Letter (Optional) Reference requirements The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. As a university employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California prohibits smoking and tobacco use at all of its university-controlled properties. The UC San Diego Annual Security & Fire Safety Report is available online at:. This report provides crime and fire statistics, as well as institutional policy statements & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. Click for more information on Assembly Bill-810 Click for more information on Senate Bill-791 • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.

Position title: Professor of Data Science Salary range: A reasonable salary range estimate for this tenure-level position is $162,800-$265,000. The UC Academic salary scale sets the minimum pay as determined by rank and/or step at appointment. The base salary range for this position is $128,800-$232,100, based on the current salary scale: "Off-scale salaries" and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. Additional UCSD salary information can be found here: Open date: January 29, 2026 Most recent review date: Sunday, Mar 1, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Wednesday, Sep 30, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. The University of California, San Diego invites applications for a tenured faculty appointment based in the Halcolu Data Science Institute, the academic unit of the newly formed School of Computing, Information and Data Sciences. We seek outstanding candidates from ALL areas of Artificial Intelligence and Machine Learning as represented within HDSI's research scope, including but not limited to: 1. Computer Vision, 2. AI for Science, 3. Emerging Technologies for AI (such as Quantum Computing) All candidates are expected to establish a rigorous program of high-quality, federally-funded research that focuses on innovations in one of the targeted search areas. This position involves teaching university students. The successful applicant(s) will be expected to teach at both the graduate and undergraduate levels in support of the Data Science major/minor degree and other programs offered by the Institute. Appointment will be at either the Associate or Full Professor rank, with tenure. The level of appointment for the successful candidate(s) will be based on the candidate's background and experience. The following link to the full description of the Ladder Rank Professor series is provided for your review: Department: School: Basic qualifications (required at time of application) *PhD or equivalent degree in Data Science, Computer Science, Mathematics/Statistics, or a related field. *Evidence of independent scholarly impact and research productivity. *Evidence of and/or demonstrated ability to teach and advise students. Document requirements * Cover Letter * Curriculum Vitae - Your most recently updated C.V. * Statement of Research * Statement of Teaching * Teaching Evaluations (Optional) Reference requirements The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. As a university employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California prohibits smoking and tobacco use at all of its university-controlled properties. The UC San Diego Annual Security & Fire Safety Report is available online at:. This report provides crime and fire statistics, as well as institutional policy statements & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. Click for more information on Assembly Bill-810 Click for more information on Senate Bill-791 • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.

Sr. Machine Learning Engineer Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers, and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform ("DSP") and supply-side platform ("SSP"), with the Nexxen Data Platform at its core. With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible, and unified solutions. Employees hustle, commit, and dedicate themselves to pillars that make up the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at to verify its legitimacy. Your trust is important to us. Stay safe and informed. The Sr. Machine Learning Engineer will join our Applied Data Science group, part of Nexxen DSP Software Development. In this hands-on role, you will work in close collaboration with data scientists to build the next generation of applied data science infrastructure for real-time performance optimization and machine learning solutions. The right person for this role should be experienced in crafting implementations for either machine learning technologies or data-driven algorithms. If you are proactive and innovative in these domains, this is a phenomenal role for you! This role can be based in our local office locations. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest, or is open to remote work for anyone with senior hands-on adtech vendor experience. What You'll Do: • Develop critical high-performance, large-scale services for Nexxen DSP Programmatic integrations and Platform product, • Drive ground-breaking innovation and apply state-of-the-art AI and machine learning in a variety of areas to enhance a real-time ad scoring and ranking system for bid optimization, • Invent and iterate novel solutions for complex ad challenges with fast turnaround., • Lead the ad algorithm architecture design and iteration of the advertising system., • Develop scalable and efficient approaches for large-scale data analysis and model development., • Build and experiment with new algorithms and models end-to-end, from production rollout to continuous optimization., • Collaborate with data scientists, engineering teams, product managers, and program managers in an open and creative environment., • Help troubleshoot production and customer issues., • Bachelor's in Computer Science or a related field of study, • 5+ years of engineering experience working at a leading AdTech Vendor Company, • A history of successfully taking ownership of features/functionality and delivering end-to-end project, • Strong knowledge of and experience implementing AI/ML technologies, mathematics, and statistics., • Expertise in Java, Python, and Scala., • In-depth knowledge of data structures and algorithms., • Practical experience working with large NoSQL databases like Aerospike and Cassandra., • Interest in ad campaign optimization and iterative model updates., • Experience building applications on top of large-scale ML/DL frameworks (TensorFlow, PyTorch)., • Expertise working with data processing tech stack (Spark, MapReduce)., • Expertise in building data-driven services and applications (ETL)., • Experienced with interdisciplinary collaborations with Data Science, Product, and Business stakeholders., • A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required., • MS or PhD in computer science or equivalent experience., • Experience within AdTech industry.

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought-leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. Northrop Grumman Mission Systems Navigation, Intelligence and Connectivity Division, Engineering and Sciences is seeking a Systems Engineering Director 1. This position will be onsite in San Diego, CA and will lead the System Engineering organization, for the Connectivity and Network Solutions Business Unit, reporting to the Senior Director of the Engineering organization. As the Systems Engineering Director, you will be responsible for leading a highly dynamic, growing team of more than 500 systems and test engineers. You will be responsible for organizational strategy, execution, process, tools, staffing, employee development and cross functional collaboration. Key Responsibilities: * Strategic Leadership * Define and execute the long-term vision, roadmap, and standards for the Systems Engineering function. * Align functional goals with business unit and division strategy. * Technical Authority * Review and advise on technical decisions, trade studies, metrics, risk mitigation plans, proposals and estimates to complete for critical programs. * Program Support & Oversight * Partner with Program Management to ensure engineering deliverables meet schedule, cost, performance and quality expectations. * Improve engineering competitiveness by establishing metrics and other measures focused on execution * Workforce Planning & Talent Development * Build, coach, and retain a high-performing technical talent. * Champion professional development, certification, and knowledge-sharing initiatives. * Workforce planning, staffing, retention and employee engagement efforts. * Process Improvement & Compliance * Lead continuous-improvement efforts through automation and process efficiencies * Ensure compliance to sector Principles and Operating Procedures (PrOP) Basic Qualifications: * U.S. Citizenship is required * A current/active US Government Top Secret clearance is required with the ability to obtain Special Program Access (SAP) * Bachelor's degree in Science, Technology, Engineering or Mathematics or related technical fields with 12 years of experience; Master's degree with 10 years of experience; PhD with 8 years of experience? * Demonstrated experience leading systems development across the product development lifecycle (from design - to - systems deployment), either as a lead systems engineer, chief engineer, product IPT leader or program manager * Experience developing and testing communication and/or multi-INT payloads * Demonstrated leadership of design reviews, independent reviews and hardware/software integration efforts * Engineering functional experience with demonstrated knowledge of hiring, staffing, engineering metrics and training resources, processes, and tools * Experience leading organizations of more than 150 people Preferred Qualifications: * Chief engineer experience * Experience leading product line planning and execution * Experience with on-site support of operational users * Experience leading engineering efforts on a corporate watchlist program * Multi-sector engineering leadership experience What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including: Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Primary Level Salary Range: $203,900.00 - $305,900.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit . U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions. Job Category: Engineering

Responsibilitie About the Team Our Multimedia Lab aims to explore and lead cutting-edge technologies in the multimedia field, deeply participate in international multimedia standardization work, provide software and hardware solutions for multimedia content generation, analysis/processing, innovative interaction, etc., and empower our business in many aspects, such as cost, experience, and capabilities. We are seeking exceptional Ph.D. students with research backgrounds in video and image compression, Gaussian splatting-based coding, token compression, and large multimodal models (VLMs/LLMs). Ideal candidates should demonstrate a strong track record of research excellence, strong capabilities in large multimodal model applications, a passion for advancing the future of multimedia technologies, and the potential to become leading experts in the field. Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities - Design, develop, and optimize innovative algorithms for data compression, processing, and large multimodal model applications, including but not limited to 2D video, multiview video, point clouds, Gaussian splatting-based or NN-based coding, token compression, and KV cache optimization. - Stay up to date with state-of-the-art techniques through standardization activities or leading conference/journal publications. - Build prototypes and demonstrations, and contribute to technical reports, publications, and patent filings. Qualification Minimum Qualifications - Current Ph.D. student in computer science/electrical engineering/mathematics/statistics/data science and related disciplines - Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills - Familiar with token/image/video coding and processing or large multimodal models - Familiar with Python, PyTorch - Familiar with C/C++ - Collaborative mindset, with solid written and verbal communication skill Preferred Qualifications - Good understanding of state-of-art compression algorithms - Rich experience and interest in video/image coding standards (e.g., H.263/264/265/266, MPEG-2/4, JPEG, JPEG 2000, AV1, AV2, AVS1/2/3, etc.) - Proficient in deep learning frameworks such as PyTorch, TensorFlow, and YOLO. - Hands-on experience with large language models (LLMs) and vision-language models (VLMs), including LoRA, diffusion models, and VQA tasks. - Experience with model training, fine-tuning, and evaluation pipelines. - Familiar with GPU acceleration and CUDA environment configuration. Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly rate range for this position in the selected city is $57- $57. Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance. The Company reserves the right to modify or change these benefits programs at any time, with or without notice. For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;, 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and, 3. Exercising sound judgment. About U Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join ByteDance Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us. Diversity & Inclusion ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. Reasonable Accommodation ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 8 years of related engineering experience; OR a Master’s degree in a STEM discipline and 6 years of related engineering experience; OR a PhD in a STEM discipline and 4 years of related engineering experi

Remote contract for PhDs in Mathematics, Statistics, or related fields. PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field. Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics.

Qualifications Must-Have PhD in Mathematics , or MS in Mathematics with 3+ years teaching, research, or applied work, or BS in Mathematics with 5+ years tutoring, contest coaching, or applied math experience. Position: Mathematics Expert Type: Contract Compensation: $72–$80/hour Location: Remote C

Key Responsibilities Write and refine prompts to guide AI model behavior in mathematical contexts Evaluate AI-generated responses for correctness, logical consistency, and rigor Verify mathematical claims, derivations, and proofs using domain expertise Conduct fact-checking using authoritative mathe

Want to be your own boss? With the Spark Driver™ app, you can make some extra cash by shopping and delivering for customers of Walmart and other local businesses.Available in more than 3,650 cities and all 50 states, the Spark Driver platform makes it possible for you to reach thousands of custome

Want to be your own boss? With the Spark Driver™ app, you can make some extra cash by shopping and delivering for customers of Walmart and other local businesses.Available in more than 3,650 cities and all 50 states, the Spark Driver platform makes it possible for you to reach thousands of custome

Want to be your own boss? With the Spark Driver™ app, you can make some extra cash by shopping and delivering for customers of Walmart and other local businesses.Available in more than 3,650 cities and all 50 states, the Spark Driver platform makes it possible for you to reach thousands of custome

Want to be your own boss? With the Spark Driver™ app, you can make some extra cash by shopping and delivering for customers of Walmart and other local businesses.Available in more than 3,650 cities and all 50 states, the Spark Driver platform makes it possible for you to reach thousands of custome

Want to be your own boss? With the Spark Driver™ app, you can make some extra cash by shopping and delivering for customers of Walmart and other local businesses.Available in more than 3,650 cities and all 50 states, the Spark Driver platform makes it possible for you to reach thousands of custome

Want to be your own boss? With the Spark Driver™ app, you can make some extra cash by shopping and delivering for customers of Walmart and other local businesses.Available in more than 3,650 cities and all 50 states, the Spark Driver platform makes it possible for you to reach thousands of custome

Want to be your own boss? With the Spark Driver™ app, you can make some extra cash by shopping and delivering for customers of Walmart and other local businesses.Available in more than 3,650 cities and all 50 states, the Spark Driver platform makes it possible for you to reach thousands of custome